I'm running models with various initial values, and I'm trying to append values (3 estimators) by rows to a dataframe in a loop. I assign values to estimators within the loop, but I can't recall them to produce a dataframe.
My code: f
is the model for the estimation. Three parameters: alpha, rho, and lambda in the model. I want to output these 3 values.
library("maxLik")
f <- function(param) {
alpha <- param[1]
rho <- param[2]
lambda <- param[3]
u <- 0.5 * (dataset$v_50_1)^alpha - 0.5 * lambda * (dataset$v_50_2)^alpha
p <- 1/(1 + exp(-rho * u))
logl <- sum(dataset$gamble * log(p) + (1 - dataset$gamble) * log(1 - p))
}
df <- data.frame(alpha = numeric(), rho = numeric(), lambda = numeric())
for (j in 1:20) {
tryCatch({
ml <- maxLik(f, start = c(alpha = runif(1, 0, 2), rho = runif(1, 0, 4), lambda = runif(1,
0, 10)), method = "NM")
alpha[j] <- ml$estimate[1]
rho[j] <- ml$estimate[2]
lambda[j] <- ml$estimate[3]
}, error = function(e) {NA})
}
output <- data.frame(alpha, rho, lambda)
error occurs:
Error in data.frame(alpha, rho, lambda) : object 'alpha' not found
Expected output
alpha rho lambda
0.4 1 2 # estimators append by row.
0.6 1.1 3 # each row has estimators that are estimated
0.7 1.5 4 # by one set of initial values, there are 20
# rows, as the estimation loops for 20 times.